AI Research Engineer, Multimodal & LLM Architect

Tether Operations Limited; United Kingdom; On-site; GBP 70,000 - 110,000; Full time

Job summary

Tether Operations Limited is looking for a team member in the AI model department to innovate architecture development for state-of-the-art AI models. The role involves conducting large-scale pre-training for LLMs and Multi-Modal models on powerful distributed servers.

Applicants should possess a PhD and proven experience in AI R&D. Responsibilities include designing novel architectures and curating extensive datasets. A strong command of PyTorch and familiarity with distributed training frameworks are essential.

Qualifications

• Deep expertise in LLM and Multi‑Modal architectures.
• Experience in large-scale pre‑training on distributed servers.
• Knowledge of transformer and non-transformer modifications.

Responsibilities

• Conduct foundational pre‑training for LLMs and Multi‑Modal models.
• Design and prototype innovative architectures and alignment layers.
• Source, filter, and curate massive‑scale datasets.
• Execute experiments and refine training methodologies.
• Investigate and debug efficiency bottlenecks.
• Contribute to distributed training system advancements.

Skills

Large Language Model (LLM)

Multi-Modal architectures

PyTorch

Hugging Face libraries

Data strategy

Education

PhD in NLP, Machine Learning, or related field

Degree in Computer Science or related field

Tools

Distributed training frameworks

NVIDIA GPUs

Job description

Tether Operations Limited is looking for a team member in the AI model department to innovate architecture development for state-of-the-art AI models. The role involves conducting large-scale pre-training for LLMs and Multi-Modal models on powerful distributed servers.

Applicants should possess a PhD and proven experience in AI R&D. Responsibilities include designing novel architectures and curating extensive datasets. A strong command of PyTorch and familiarity with distributed training frameworks are essential.